Basic stats
## [1] "number of species sampled: 149"
## sp cmax tL bM1c sDens RcTh
## 1 271.0000 239.07719 1.9846593 0.5117742 28.932225
## 2 Amaioua corymbosa 139.0000 NaN 1.6934338 0.5925926 37.992832
## 3 Amaioua guianensis 201.0000 10.37498 0.4327943 0.6222222 3.225806
## 4 Amphirrhox longifolia 173.4286 52.09969 0.8210011 0.5380701 44.337085
## 5 Anacardium parvifolium 244.1667 37.95601 2.9769794 0.5391994 35.520742
## 6 Aniba riparia 228.0000 32.13848 0.8081630 0.4212963 15.760870
## RcPos tL taper HGE rgrBc LIEc LUEc
## 1 85.19111 239.07719 -3.925693 0.8446307 0.05308542 104.00511 -82.40488
## 2 87.45520 NaN -8.973132 0.8359817 0.25486161 NaN NaN
## 3 99.41349 10.37498 -2.843502 2.2988816 0.07837783 23.97208 19.43178
## 4 80.10286 52.09969 -6.363875 1.6568296 0.21052631 59.90371 15.38360
## 5 87.45503 37.95601 -6.356338 1.0968644 0.16537511 27.43992 50.84863
## 6 88.85870 32.13848 -2.967233 1.5881993 0.09631796 39.76732 13.50955
## cDens cSh Hmax
## 1 46.28419 0.5564862 NaN
## 2 NaN 0.6319444 17.015
## 3 259.93375 0.9428571 13.000
## 4 28.47908 0.7347767 13.225
## 5 54.22304 0.7435369 30.625
## 6 67.14093 0.4797297 15.700
Partial regression
##
## Call:
## lm(formula = log(tmp$cmax) ~ log(tmp$bM1c))
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.53869 -0.07594 0.01748 0.09333 0.33628
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.27963 0.01247 102.619 <2e-16 ***
## log(tmp$bM1c) 0.19317 0.02051 9.417 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1507 on 145 degrees of freedom
## Multiple R-squared: 0.3795, Adjusted R-squared: 0.3752
## F-statistic: 88.68 on 1 and 145 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = log(tmp$tL) ~ log(tmp$bM1c))
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.10781 -0.43079 0.08382 0.54073 1.34389
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.90241 0.06015 64.876 < 2e-16 ***
## log(tmp$bM1c) 0.75979 0.09895 7.678 2.19e-12 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.7269 on 145 degrees of freedom
## Multiple R-squared: 0.2891, Adjusted R-squared: 0.2842
## F-statistic: 58.96 on 1 and 145 DF, p-value: 2.189e-12
##
## Call:
## lm(formula = lb$residuals ~ hb$residuals)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.94164 -0.49322 0.07839 0.53659 1.37778
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.356e-17 5.963e-02 0.000 1.000
## hb$residuals 5.035e-01 3.984e-01 1.264 0.208
##
## Residual standard error: 0.723 on 145 degrees of freedom
## Multiple R-squared: 0.0109, Adjusted R-squared: 0.004075
## F-statistic: 1.597 on 1 and 145 DF, p-value: 0.2083
##
## Call:
## lm(formula = log(tmp$rgrBc) ~ log(tmp$tL))
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.84389 -0.18035 0.04198 0.29287 0.92595
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -2.56877 0.16078 -15.977 < 2e-16 ***
## log(tmp$tL) 0.14190 0.04061 3.494 0.000631 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.4216 on 145 degrees of freedom
## Multiple R-squared: 0.07766, Adjusted R-squared: 0.0713
## F-statistic: 12.21 on 1 and 145 DF, p-value: 0.0006312
##
## Call:
## lm(formula = gl$residuals ~ lb$residuals)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.85965 -0.18655 0.04603 0.29705 0.94678
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -3.625e-17 3.475e-02 0.000 1.000
## lb$residuals -2.061e-02 4.814e-02 -0.428 0.669
##
## Residual standard error: 0.4214 on 145 degrees of freedom
## Multiple R-squared: 0.001262, Adjusted R-squared: -0.005625
## F-statistic: 0.1833 on 1 and 145 DF, p-value: 0.6692
##
## Call:
## lm(formula = hb2$residuals ~ tmp2$Hmax)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.55995 -0.08056 0.00781 0.06676 0.30982
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.0079246 0.0396513 -0.200 0.842
## tmp2$Hmax 0.0004162 0.0019537 0.213 0.832
##
## Residual standard error: 0.1289 on 86 degrees of freedom
## Multiple R-squared: 0.0005275, Adjusted R-squared: -0.01109
## F-statistic: 0.04539 on 1 and 86 DF, p-value: 0.8318
##
## Call:
## lm(formula = lb2$residuals ~ tmp2$Hmax)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.09574 -0.37424 0.04807 0.46167 1.24531
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.38933 0.19462 2.000 0.0486 *
## tmp2$Hmax -0.02045 0.00959 -2.132 0.0358 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.6325 on 86 degrees of freedom
## Multiple R-squared: 0.05022, Adjusted R-squared: 0.03918
## F-statistic: 4.548 on 1 and 86 DF, p-value: 0.03582
##
## Call:
## lm(formula = gl2$residuals ~ tmp2$Hmax)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.99518 -0.18479 0.03731 0.19710 0.82883
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.029470 0.099265 -0.297 0.767
## tmp2$Hmax 0.001548 0.004891 0.316 0.752
##
## Residual standard error: 0.3226 on 86 degrees of freedom
## Multiple R-squared: 0.001163, Adjusted R-squared: -0.01045
## F-statistic: 0.1002 on 1 and 86 DF, p-value: 0.7524
